22 citations · 43 across the 14 of their papers we have counts for
15 papers
Classification-Aided Robust Multiple Target Tracking Using Neural Enhanced Message Passing
Xianglong Bai, Zengfu Wang, Quan Pan +2
We address the challenge of tracking an unknown number of targets in strong clutter environments using measurements from a radar sensor. Leveraging the range-Doppler spectra inform…
Combinatorial-restless-bandit-based Transmitter-Receiver Online Selection for Distributed MIMO Radars With Non-Stationary Channels
Yuhang Hao, Zengfu Wang, Jing Fu +3
We track moving targets with a distributed multiple-input multiple-output (MIMO) radar, for which the transmitters and receivers are appropriately paired and selected with a limite…
A Sea-Land Clutter Classification Framework for Over-the-Horizon-Radar Based on Weighted Loss Semi-supervised GAN
Xiaoxuan Zhang, Zengfu Wang, Kun Lu +2
Deep convolutional neural network has made great achievements in sea-land clutter classification for over-the-horizon-radar (OTHR). The premise is that a large number of labeled tr…
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance
Hua Lan, Jinjie Hu, Zengfu Wang +1
Motivated by the maneuvering target tracking with sensors such as radar and sonar, this paper considers the joint and recursive estimation of the dynamic state and the time-varying…
Data Augmentation and Classification of Sea-Land Clutter for Over-the-Horizon Radar Using AC-VAEGAN
Xiaoxuan Zhang, Zengfu Wang, Kun Lu +1
In the sea-land clutter classification of sky-wave over-the-horizon-radar (OTHR), the imbalanced and scarce data leads to a poor performance of the deep learning-based classificati…
Robust Multitarget Tracking in Interference Environments: A Message-Passing Approach
Xianglong Bai, Hua Lan, Zengfu Wang +3
Multitarget tracking in the interference environments suffers from the nonuniform, unknown and time-varying clutter, resulting in dramatic performance deterioration. We address thi…
Submarine Cable Network Design for Regional Connectivity
Tianjiao Wang, Zengfu Wang, Bill Moran +1
This paper optimizes path planning for a trunkand-branch topology network in an irregular 2-dimensional manifold embedded in 3-dimensional Euclidean space with application to subma…
A Restless Bandit Model for Energy-Efficient Job Assignments in Server Farms
Jing Fu, Xinyu Wang, Zengfu Wang +1
We aim to maximize the energy efficiency, gauged as average energy cost per job, in a large-scale server farm with various storage or/and computing components modeled as parallel a…
Optimal Tree Topology for a Submarine Cable Network With Constrained Internodal Latency
Tianjiao Wang, Zengfu Wang, Bill Moran +1
This paper provides an optimized cable path planning solution for a tree-topology network in an irregular 2D manifold in a 3D Euclidean space, with an application to the planning o…
OTHR multitarget tracking with a GMRF model of ionospheric parameters
Zhen Guo, Zengfu Wang, Hua Lan +2
The ionosphere is the propagation medium for radio waves transmitted by an over-the-horizon radar (OTHR). Ionospheric parameters, typically, virtual ionospheric heights (VIHs), are…
Measurement-Level Fusion for OTHR Network Using Message Passing
Hua Lan, Zengfu Wang, Xianglong Bai +2
Tracking an unknown number of targets based on multipath measurements provided by an over-the-horizon radar (OTHR) network with a statistical ionospheric model is complicated, whic…
A Message Passing Approach for Multiple Maneuvering Target Tracking
Hua Lan, Jirong Ma, Zengfu Wang +2
This paper considers the problem of detecting and tracking multiple maneuvering targets, which suffers from the intractable inference of high-dimensional latent variables that incl…
Information Geometry of Sensor Configuration
Simon Williams, Arthur George Suvorov, Wang Zeng Fu +1
In problems of parameter estimation from sensor data, the Fisher Information provides a measure of the performance of the sensor; effectively, in an infinitesimal sense, how much i…
Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach
Hua Lan, Shuai Sun, Zengfu Wang +2
We consider multitarget detection and tracking problem for a class of multipath detection system where one target may generate multiple measurements via multiple propagation paths,…
Bounds on Multiple Sensor Fusion
Bill Moran, Fred Cohen, Zengfu Wang +5
We consider the problem of fusing measurements from multiple sensors, where the sensing regions overlap and data are non-negative---possibly resulting from a count of indistinguish…